Ontology Learning and Information Extraction for the Semantic Web
Autor(ka) práce:
Kavalec, Martin
Typ práce:
Dissertation thesis
Vedoucí práce:
Berka, Petr
Oponenti práce:
Burešová, Olga
Jazyk práce:
English
Abstrakt:
The work gives overview of its three main topics: semantic web,
information extraction and ontology learning. A method for
identification relevant information on web pages is described and
experimentally tested on pages of companies offering products and
services. The method is based on analysis of a sample web pages and
their position in the Open Directory catalogue.
Furthermore, a modfication of association rules mining algorithm is
proposed and experimentally tested. In addition to an identification
of a relation between ontology concepts, it suggest possible naming of
the relation.
Klíčová slova:
ontology learning; information extraction; association rules; natural language processing; semantic web